A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context
A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context
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DOI：
10.1016/j.cor.2014.03.002
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发表时间：
2015-02-01
影响因子：
4.6
通讯作者：
Mirhedayatian, Seyed Mostafa
中科院分区：
文献类型：
--
作者：
Azadi, Majid;Jafarian, Mostafa;Mirhedayatian, Seyed Mostafa
可持续供应链管理（SSCM）在过去的十年里受到了企业和学术界的广泛关注。可持续供应商绩效评价与选择对于建立有效的供应链管理具有重要意义。可用于可持续供应商绩效评价和选择的技术之一是数据包络分析（DEA）。在真实的世界问题中，输入和输出可能不精确。本文提出了一个综合的DEA增强的罗素测度（ERM）模型在模糊背景下选择最佳的可持续供应商。最后以某树脂生产企业为例，验证了该方法在解决供应商选择问题中的有效性。案例研究表明，该模型可以测量不同α水平的不确定环境中的有效性，效率和生产率。此外，它表明，该模型有助于决策者在选择可持续供应商时处理经济，社会和环境因素。(C)2014爱思唯尔有限公司版权所有。
Sustainable supply chain management (SSCM) has received much consideration from corporate and academic over the past decade. Sustainable supplier performance evaluation and selection plays a significant role in establishing an effective SSCM. One of the techniques that can be used for sustainable supplier performance evaluation and selection is data envelopment analysis (DEA). In real world problems, the inputs and outputs might be imprecise. This paper develops an integrated DEA enhanced Russell measure (ERM) model in fuzzy context to select the best sustainable suppliers. A case study is presented to exhibit the efficacy of the proposed method for sustainable supplier selection problem in a resin production company. The case study demonstrates that the proposed model can measure effectiveness, efficiency, and productivity in uncertain environment with different a levels. Also, it shows that the proposed model aids decision makers to deal with economic, social, and environmental factors when selecting sustainable suppliers. (C) 2014 Elsevier Ltd. All rights reserved.